公开(公告)号：US10721182B2

公开(公告)日：2020-07-21

申请号：US16024146

申请日：2018-06-29

Applicant: VMWARE, INC.

Inventor： Sahil Singhal ,  Andi Abes

IPC: H04L12/911 ,  G06F9/50 ,  H04L12/24 ,  H04L12/917 ,  G06F9/455

Abstract: A computer-implemented method of adjusting a resource credit configuration for cloud resources that includes collecting a resource credit inventory and attributing metadata related to resources from one or more cloud resources. An expected resource demand is determined. A plurality of resource credit configurations is determined that matches the determined expected resource demand. An improved resource credit benefit based on the resource credit inventory and on the plurality of credit configurations is determined that matches the determined expected resource demand. A modified attribute metadata based on the determined improved resource credit benefit is then determined.

公开(公告)号：US11381516B2

公开(公告)日：2022-07-05

申请号：US16933958

申请日：2020-07-20

Applicant: VMWARE INC.

Inventor： Sahil Singhal ,  Andi Abes

IPC: H04L47/783 ,  H04L47/70 ,  H04L47/83 ,  G06F9/50 ,  H04L41/0896 ,  H04L47/76 ,  G06F9/455

Abstract: A computer-implemented method of adjusting a resource credit configuration for cloud resources that includes collecting a resource credit inventory and attributing metadata related to resources from one or more cloud resources. An expected resource demand is determined. A plurality of resource credit configurations is determined that matches the determined expected resource demand. An improved resource credit benefit based on the resource credit inventory and on the plurality of credit configurations is determined that matches the determined expected resource demand. A modified attribute metadata based on the determined improved resource credit benefit is then determined.

公开(公告)号：US20220337529A1

公开(公告)日：2022-10-20

申请号：US17857125

申请日：2022-07-04

Applicant: VMware, Inc.

Inventor： Sahil Singhal ,  Andi Abes

IPC: H04L47/783 ,  H04L47/70 ,  G06F9/50 ,  H04L41/0896 ,  H04L47/76

Abstract: Systems and methods for maximizing resource credits across cloud infrastructure are disclosed herein. An example apparatus comprises: at least one memory; instructions; and processor circuitry to execute the instructions to: transmit a request for information associated with a workload executing on a cloud resource to an application programming interface associated with the cloud resource; identify the cloud resource as underutilized based on a change in an infrastructure usage pattern associated with the workload; compute an expected demand for the cloud resource based on a report of activity associated with the workload; and reconfigure the cloud resource to reduce a monetary cost associated with the workload.